Director, Agentic AI Solutions & Architecture

Director, Agentic AI Solutions Architecture Remote - US Reporting to Office of the CEO Legion is expanding its AI capabilities to support advanced, intelligent workflows across workforce operations. We are hiring a Director, Agentic AI Solutions Architecture to help shape how these capabilities are positioned, designed, and delivered in enterprise environments. Strategic Leadership: This senior position, situated within the Office of the CEO, will define the strategic direction for Legion's advanced, intelligent workflows across enterprise workforce operations. Interdisciplinary Focus: The role integrates expertise in AI architecture, cross-functional collaboration with Product and Engineering, and customer-facing solution design. Scope and Trajectory: The Director will operate as a "player–coach," executing hands-on work initially and subsequently leading the expansion of the AI Solutions function into broader leadership responsibilities. Key Responsibilities AI Solutions Architecture: Design and communicate comprehensive, end-to-end AI-enabled solutions that align with Legion’s platform capabilities and translate complex customer business requirements into scalable, agent-based architectures. Technical Consulting and Governance: Support intricate solution design involving critical factors such as data integration, security protocols, and governance frameworks. Generative AI Agentic Systems Expertise: Apply practical, deep knowledge of generative AI, Large Language Models (LLMs), and agent-based systems to deliver value in enterprise use cases, including the definition of agent workflows, tool utilization, and human-in-the-loop patterns. Field Engagement: Serve as the technical and solution-oriented Subject Matter Expert (SME) in customer-facing discussions, providing solution framing and technical validation to support Sales and Go-To-Market (GTM) teams on high-value AI opportunities. Organizational Enablement: Develop and maintain reusable solution artifacts, reference architectures, and standardized best practices to ensure consistency in the explanation, demonstration, and deployment of AI capabilities. Required Experience and Qualifications Professional Background: A minimum of 10 years of experience in enterprise software, with demonstrable tenure in roles such as Solutions Architect, Technical Pre-Sales, Platform/Systems Architecture, or AI-focused customer-facing positions. Enterprise Engagement: Proven history of successful direct engagement with large enterprise clientele. Generative AI Proficiency (Mandatory): Candidates must possess hands-on experience in several of the following areas: Designing and building applications utilizing Large Language Models (LLMs) (e.g., OpenAI, Anthropic, Google, open-source models). Developing agent-based systems, including tool/function calling, multi-step reasoning, and human-in-the-loop integration. Practical expertise in prompt design, rigorous evaluation, and iteration processes. Strong understanding of enterprise AI system considerations, including latency, cost optimization, reliability, security, data governance, and observability. Technical Acumen: Strong command of API-driven and cloud-native architectures, with the ability to integrate AI systems seamlessly with existing enterprise platforms and data sources. Preferred Qualifications Prior experience with leading agent frameworks, orchestration layers, or dedicated AI platforms. Experience in building or supporting commercially available AI-powered enterprise products. Familiarity with regulated or highly security-conscious enterprise environments. Exposure to the domain of workforce operations, operations platforms, or vertical SaaS. A career trajectory that successfully bridges technical depth with customer-facing execution. Personal Attributes Adaptability: Possesses a high degree of comfort operating effectively in ambiguous and rapidly evolving problem spaces. Communicatio ... (truncated, view full listing at source)